June 2019 Issue Vol.9 No.6
A Comparative analysis of Various Techniques for Web Traffic and Web User Pattern with Space Complexityhttps://ia601407.us.archive.org/15/items/vol9no0602/vol9no0601.pdf
Mr. N . Ulaganathan Ph.D.
(Part-Time) Research Scholar Department of Computer Science Nandha Arts and Science College Erode, Tamil Nadu, India
Dr. S. Prasath Research
Supervisor & Ass.Professor, Department of Computer Science Nandha Arts and Science College Erode, Tamil Nadu, India
Abstract: Classification is used to construct a representation for categorizing a set of pages. It is the process of mapping a page into various predetermined classes. In the Web domain, classification approaches are enabled to develop a profile of users related to a specific group and use particular server files. This in turn necessitated mining and collecting features depending on demographic data accessible on users or access patterns. The existing techniques such as Dominance Fuzzy Clustering and Distributed Probability Graph (, Map Reduce Pearson Correlation Fisher's Linear Discriminant Classifier (MPC-FLDC) technique and Poisson Fragment Frequency based Web Pattern Clustering technique are implemented in Java language by using Apache log samples dataset. Through the use of Apache log samples dataset in the experimental evaluation, web traffic patterns are effectively mined with the goal of tracking the location of web user. The proposed techniques are compared with existing methods.
Keywords: Web Data, Clustering, Classifier, Space complexity
S.V.Elangovan*1, N.Sivakumar 2, V.Chandramohan 3, T.S.Senthil4
1. Department of Chemistry, Velalar College of Engineering and Technology, Erode.
2. Department of Chemistry, Chikkanna Govt. Arts College, Tiruppur.
3. Department of Chemistry, PSG College of Arts and Science, Coimbatore.
4. Department of Physics, Erode Sengunthar Engineering College, Erode
Abstract: ZnO nanocrystals were prepared and the crystalline size, morphology and optical properties of the synthesized ZnO nanocrystals were done by X-ray diffraction (XRD), scanning electron microscope (SEM) with EDXA, TEM and UV-Visible spectroscopy. The photocatalytic activity of ZnO nanocrystals were analysed using Congo Red dye with UV light irradiation. The optimization of various operational parameters like pH, the initial concentration of congo red dye solution, UV irradiation time, the photocatalyst dose on the photocatalytic degradation to achieve high degradation rate of Congo Red has been performed. It is optimized that at pH= 8, catalyst load of 75mg/50ml and UV irradiation time of 90 min for maximum dye decolourisation. The Kinetic study of photocatalytic degradation reveals that the degradation follows pseudo first- order kinetics according to the Langmuir- Hinshelwood equation
Keywords: Photocatalytic degradation, Congo Red, ZnO nanocrystals, Langmuir-Hinshelwood equation.